EconPapers    
Economics at your fingertips  
 

Sensitivity Theory and Its Application to a Large Energy-Economics Model

R. G. Alsmiller, J. Barish, J. D. Drischler, J. E. Horwedel, J. L. Lucius and J. W. McAdoo
Additional contact information
R. G. Alsmiller: Oak Ridge National Laboratory, Oak Ridge, Tennessee
J. Barish: Oak Ridge National Laboratory, Oak Ridge, Tennessee
J. D. Drischler: Oak Ridge National Laboratory, Oak Ridge, Tennessee
J. E. Horwedel: Oak Ridge National Laboratory, Oak Ridge, Tennessee
J. L. Lucius: Oak Ridge National Laboratory, Oak Ridge, Tennessee
J. W. McAdoo: Oak Ridge National Laboratory, Oak Ridge, Tennessee

Operations Research, 1983, vol. 31, issue 5, 915-937

Abstract: This paper discusses a nonlinear equation theory of sensitivity analysis and demonstrates its applicability to a large energy-economics model by applying it to a specific calculation carried out with the Long-Term Energy Analysis Program (LEAP). It presents numerical results for calculating derivatives of two results of interest with respect to several values of the underlying data elements for which the derivatives are appreciable. In a number of cases, the accuracy of the derivative information obtained has been verified by direct calculations and these comparisons are also presented. The theory used here is, in principle, applicable to a variety of models. It is most useful when applied to models that contain a very large number of data elements.

Keywords: 96 sensitivity of economic models; 431 sensitivity methodology (search for similar items in EconPapers)
Date: 1983
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/opre.31.5.915 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:31:y:1983:i:5:p:915-937

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:oropre:v:31:y:1983:i:5:p:915-937